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Similar blocks of code found in 2 locations. Consider refactoring.
Open

  def _RunAndVerifyBackpropFilterDilation(self, input_sizes, filter_sizes,
                                          output_sizes, strides, dilations,
                                          padding, data_format, use_gpu, err):
    x1 = self._CreateNumpyTensor(input_sizes)
    x2 = self._CreateNumpyTensor(filter_sizes)
Severity: Major
Found in tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py and 1 other location - About 4 days to fix
tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py on lines 1815..1858

Duplicated Code

Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

Tuning

This issue has a mass of 416.

We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

Refactorings

Further Reading

Similar blocks of code found in 2 locations. Consider refactoring.
Open

  def _RunAndVerifyBackpropInputDilation(self, input_sizes, filter_sizes,
                                         output_sizes, strides, dilations,
                                         padding, data_format, use_gpu, err):
    x1 = self._CreateNumpyTensor(input_sizes)
    x2 = self._CreateNumpyTensor(filter_sizes)
Severity: Major
Found in tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py and 1 other location - About 4 days to fix
tensorflow/python/kernel_tests/nn_ops/conv_ops_test.py on lines 1861..1903

Duplicated Code

Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

Tuning

This issue has a mass of 416.

We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

Refactorings

Further Reading

Similar blocks of code found in 4 locations. Consider refactoring.
Open

class FalseNegativesTest(test.TestCase):

  def setUp(self):
    np.random.seed(1)
    ops.reset_default_graph()
Severity: Major
Found in tensorflow/python/kernel_tests/metrics_test.py and 3 other locations - About 4 days to fix
tensorflow/python/kernel_tests/metrics_test.py on lines 4283..4333
tensorflow/python/kernel_tests/metrics_test.py on lines 4390..4440
tensorflow/python/kernel_tests/metrics_test.py on lines 4495..4545

Duplicated Code

Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

Tuning

This issue has a mass of 413.

We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

Refactorings

Further Reading

Similar blocks of code found in 4 locations. Consider refactoring.
Open

class FalsePositivesTest(test.TestCase):

  def setUp(self):
    np.random.seed(1)
    ops.reset_default_graph()
Severity: Major
Found in tensorflow/python/kernel_tests/metrics_test.py and 3 other locations - About 4 days to fix
tensorflow/python/kernel_tests/metrics_test.py on lines 4178..4228
tensorflow/python/kernel_tests/metrics_test.py on lines 4390..4440
tensorflow/python/kernel_tests/metrics_test.py on lines 4495..4545

Duplicated Code

Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

Tuning

This issue has a mass of 413.

We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

Refactorings

Further Reading

Similar blocks of code found in 4 locations. Consider refactoring.
Open

class TrueNegativesTest(test.TestCase):

  def setUp(self):
    np.random.seed(1)
    ops.reset_default_graph()
Severity: Major
Found in tensorflow/python/kernel_tests/metrics_test.py and 3 other locations - About 4 days to fix
tensorflow/python/kernel_tests/metrics_test.py on lines 4178..4228
tensorflow/python/kernel_tests/metrics_test.py on lines 4283..4333
tensorflow/python/kernel_tests/metrics_test.py on lines 4495..4545

Duplicated Code

Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

Tuning

This issue has a mass of 413.

We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

Refactorings

Further Reading

Similar blocks of code found in 4 locations. Consider refactoring.
Open

class TruePositivesTest(test.TestCase):

  def setUp(self):
    np.random.seed(1)
    ops.reset_default_graph()
Severity: Major
Found in tensorflow/python/kernel_tests/metrics_test.py and 3 other locations - About 4 days to fix
tensorflow/python/kernel_tests/metrics_test.py on lines 4178..4228
tensorflow/python/kernel_tests/metrics_test.py on lines 4283..4333
tensorflow/python/kernel_tests/metrics_test.py on lines 4390..4440

Duplicated Code

Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

Tuning

This issue has a mass of 413.

We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

Refactorings

Further Reading

File tpu_strategy.py has 1510 lines of code (exceeds 250 allowed). Consider refactoring.
Open

# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
Severity: Major
Found in tensorflow/python/distribute/tpu_strategy.py - About 4 days to fix

    Similar blocks of code found in 2 locations. Consider refactoring.
    Open

      @test_util.run_deprecated_v1
  def testMultipleUpdatesWithWeights(self):
    num_classes = 2
    with self.cached_session() as sess:
      # Create the queue that populates the predictions.
    Severity: Major
    Found in tensorflow/python/kernel_tests/metrics_test.py and 1 other location - About 4 days to fix
    tensorflow/python/kernel_tests/metrics_test.py on lines 3725..3769

    Duplicated Code

    Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

    Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

    When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

    Tuning

    This issue has a mass of 411.

    We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

    The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

    If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

    See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

    Refactorings

    Further Reading

    Similar blocks of code found in 2 locations. Consider refactoring.
    Open

      @test_util.run_deprecated_v1
  def testMultipleUpdatesWithWeights(self):
    num_classes = 2
    with self.cached_session() as sess:
      # Create the queue that populates the predictions.
    Severity: Major
    Found in tensorflow/python/kernel_tests/metrics_test.py and 1 other location - About 4 days to fix
    tensorflow/python/kernel_tests/metrics_test.py on lines 4046..4090

    Duplicated Code

    Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

    Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

    When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

    Tuning

    This issue has a mass of 411.

    We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

    The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

    If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

    See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

    Refactorings

    Further Reading

    File tensor_array_ops_test.py has 1503 lines of code (exceeds 250 allowed). Consider refactoring.
    Open

    # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
    Severity: Major
    Found in tensorflow/python/kernel_tests/data_structures/tensor_array_ops_test.py - About 4 days to fix

      File variable_scope_test.py has 1495 lines of code (exceeds 250 allowed). Consider refactoring.
      Open

      # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
      Severity: Major
      Found in tensorflow/python/kernel_tests/variables/variable_scope_test.py - About 3 days to fix

        File renames_v2.py has 1495 lines of code (exceeds 250 allowed). Consider refactoring.
        Open

        # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
        Severity: Major
        Found in tensorflow/tools/compatibility/renames_v2.py - About 3 days to fix

          Identical blocks of code found in 2 locations. Consider refactoring.
          Open

          def _concat(prefix, suffix, static=False):
  """Concat that enables int, Tensor, or TensorShape values.

  This function takes a size specification, which can be an integer, a
  TensorShape, or a Tensor, and converts it into a concatenated Tensor
          Severity: Major
          Found in tensorflow/python/keras/layers/legacy_rnn/rnn_cell_impl.py and 1 other location - About 3 days to fix
          tensorflow/python/ops/rnn_cell_impl.py on lines 65..133

          Duplicated Code

          Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

          Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

          When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

          Tuning

          This issue has a mass of 407.

          We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

          The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

          If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

          See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

          Refactorings

          Further Reading

          Identical blocks of code found in 2 locations. Consider refactoring.
          Open

          def _concat(prefix, suffix, static=False):
  """Concat that enables int, Tensor, or TensorShape values.

  This function takes a size specification, which can be an integer, a
  TensorShape, or a Tensor, and converts it into a concatenated Tensor
          Severity: Major
          Found in tensorflow/python/ops/rnn_cell_impl.py and 1 other location - About 3 days to fix
          tensorflow/python/keras/layers/legacy_rnn/rnn_cell_impl.py on lines 107..166

          Duplicated Code

          Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

          Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

          When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

          Tuning

          This issue has a mass of 407.

          We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

          The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

          If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

          See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

          Refactorings

          Further Reading

          File map_test.py has 1477 lines of code (exceeds 250 allowed). Consider refactoring.
          Open

          # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
          Severity: Major
          Found in tensorflow/python/data/kernel_tests/map_test.py - About 3 days to fix

            Similar blocks of code found in 4 locations. Consider refactoring.
            Open

              def testIsComplex(self):
    self.assertEqual(dtypes.as_dtype("int8").is_complex, False)
    self.assertEqual(dtypes.as_dtype("int16").is_complex, False)
    self.assertEqual(dtypes.as_dtype("int32").is_complex, False)
    self.assertEqual(dtypes.as_dtype("int64").is_complex, False)
            Severity: Major
            Found in tensorflow/python/framework/dtypes_test.py and 3 other locations - About 3 days to fix
            tensorflow/python/framework/dtypes_test.py on lines 186..208
            tensorflow/python/framework/dtypes_test.py on lines 210..232
            tensorflow/python/framework/dtypes_test.py on lines 258..280

            Duplicated Code

            Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

            Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

            When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

            Tuning

            This issue has a mass of 402.

            We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

            The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

            If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

            See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

            Refactorings

            Further Reading

            Similar blocks of code found in 4 locations. Consider refactoring.
            Open

              def testIsInteger(self):
    self.assertEqual(dtypes.as_dtype("int8").is_integer, True)
    self.assertEqual(dtypes.as_dtype("int16").is_integer, True)
    self.assertEqual(dtypes.as_dtype("int32").is_integer, True)
    self.assertEqual(dtypes.as_dtype("int64").is_integer, True)
            Severity: Major
            Found in tensorflow/python/framework/dtypes_test.py and 3 other locations - About 3 days to fix
            tensorflow/python/framework/dtypes_test.py on lines 210..232
            tensorflow/python/framework/dtypes_test.py on lines 234..256
            tensorflow/python/framework/dtypes_test.py on lines 258..280

            Duplicated Code

            Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

            Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

            When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

            Tuning

            This issue has a mass of 402.

            We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

            The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

            If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

            See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

            Refactorings

            Further Reading

            Similar blocks of code found in 4 locations. Consider refactoring.
            Open

              def testIsFloating(self):
    self.assertEqual(dtypes.as_dtype("int8").is_floating, False)
    self.assertEqual(dtypes.as_dtype("int16").is_floating, False)
    self.assertEqual(dtypes.as_dtype("int32").is_floating, False)
    self.assertEqual(dtypes.as_dtype("int64").is_floating, False)
            Severity: Major
            Found in tensorflow/python/framework/dtypes_test.py and 3 other locations - About 3 days to fix
            tensorflow/python/framework/dtypes_test.py on lines 186..208
            tensorflow/python/framework/dtypes_test.py on lines 234..256
            tensorflow/python/framework/dtypes_test.py on lines 258..280

            Duplicated Code

            Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

            Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

            When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

            Tuning

            This issue has a mass of 402.

            We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

            The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

            If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

            See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

            Refactorings

            Further Reading

            Similar blocks of code found in 4 locations. Consider refactoring.
            Open

              def testIsUnsigned(self):
    self.assertEqual(dtypes.as_dtype("int8").is_unsigned, False)
    self.assertEqual(dtypes.as_dtype("int16").is_unsigned, False)
    self.assertEqual(dtypes.as_dtype("int32").is_unsigned, False)
    self.assertEqual(dtypes.as_dtype("int64").is_unsigned, False)
            Severity: Major
            Found in tensorflow/python/framework/dtypes_test.py and 3 other locations - About 3 days to fix
            tensorflow/python/framework/dtypes_test.py on lines 186..208
            tensorflow/python/framework/dtypes_test.py on lines 210..232
            tensorflow/python/framework/dtypes_test.py on lines 234..256

            Duplicated Code

            Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

            Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

            When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

            Tuning

            This issue has a mass of 402.

            We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

            The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

            If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

            See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

            Refactorings

            Further Reading

            Similar blocks of code found in 2 locations. Consider refactoring.
            Open

                with ops.Graph().as_default():
      price = fc.numeric_column('price')
      price_buckets = fc.bucketized_column(
          price, boundaries=[
              0.,
            Severity: Major
            Found in tensorflow/python/feature_column/feature_column_v2_test.py and 1 other location - About 3 days to fix
            tensorflow/python/feature_column/feature_column_test.py on lines 1873..1920

            Duplicated Code

            Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

            Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

            When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

            Tuning

            This issue has a mass of 401.

            We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

            The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

            If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

            See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

            Refactorings

            Further Reading

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